The core partner data centres that are integrated in NorDataNet are listed in https://www.nordatanet.no/en/node/69. In addition to this NorDataNet harvests information on relevant datasets from a number of other data centres. The data centre responsible for the data presented is usually (but not always) listed in the discovery metadata. In essence NorDataNet is an aggregating service that combines information from a number of existing data centres.
Citation of data and service
If you use data retrieved through this portal, please acknowledge our funding source:
Research Council of Norway, project number 245967/F50, Norwegian Scientific Data Network.
Always remember to cite data when used!
Citation information for individual datasets is often provided in the metadata. However, not all datasets have this information embedded in the discovery metadata. On a general basis a citation of a dataset include the same components as any other citation:
author, title,
year of publication,
publisher (for data this is often the archive where it is housed),
edition or version,
access information (a URL or persistent identifier, e.g. DOI if provided)
All partner repositories of NorDataNet support Digital Object Identifiers (DOI), but not all datasets are minted. Whether or not minted depends often on source of the data (e.g. operational data are often yet not minted). However, all data centres support persistent identifiers according to local systems. The information required to properly cite a dataset is normally provided in the discovery metadata the datasets.
Brief user guide
The Data Access Portal has information in 3 columns. An outline of the content in these columns is provided above. When first entering the search interface, all potential datasets are listed. Datasets are indicated in the map and results tabulation elements which are located in the middle column. The order of results can be modified using the "Sort by" option in the left column. On top of this column is normally relevant guidance information to user presented as collapsible elements.
If the user want to refine the search, this can be done by constraining the bounding box search. This is done in the map - the listing of datasets is automatically updated. Date constraints can be added in the left column. For these to take effect, the user has to push the button marked search. In the left column it is also possible to specific text elements to search for in the datasets. Again pushing the button marked "Search" is necessary for these to take action. Complex search patterns can be constructed using logical operators identified in the drop down menu with and phrases embedded in quotation marks. Prefixing a phrase with '-' negates the phrase (i.e. should not occur in the results). Searches are case insensitive.
Other elements indicated in the left and right columns are facet searches, i.e. these are keywords that are found in the datasets and all datasets that contain these specific keywords in the appropriate metadata elements are listed together. Further refinement can be done using full text, date or bounding box constraints. Individuals, organisations and data centres involved in generating or curating the datasets are listed in the facets in the right column. The combination of search fields (including facets) is based on a logical "AND" combination of the fields, i.e. all conditions are fulfilled for the results provided.
AMSR-E Level-1A observation counts are processed from Level-0 science packet data by the Japan Aerospace Exploration Agency (JAXA) Earth Observation Center (EOC) in Japan.
The AMSR-E Level-2A product (AE_L2A) contains daily 50 minute half-orbit swath brightness temperatures for six channels ranging from 6.9 GHz through 89 GHz. Data are resampled to spatial resolutions ranging from 5.4 km to 56 km. Each file is packaged with geolocation and quality information as well as ancillary data.
The AMSR-E/Aqua Level-2B precipitation product includes instantaneous surface precipitation rate and type over ice-free/snow-free land and ocean between 89.24 degrees north and south latitudes at at 10 km spatial resolution along the track and 5 km spatial resolution along the scan. The data are generated by the GPROF 2017 algorithm using Version 4 of the AMSR-E Level-2A Brightness Temperatures.
This data set contains gridded estimates of soil moisture in the top 1 cm of soil, averaged over the AMSR-E retrieval footprint. Soil moisture is estimated from AMSR-E/Aqua L2A brightness temperature (Tb) measurements using two different approaches: the Normalized Polarization Difference algorithm (NPD) and the Single Channel Algorithm (SCA).
Ancillary data are also provided to help interpret the soil moisture observations, including vegetation roughness, observation counts for various surface conditions, and QA flags.
This data set contains Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) level 3 daily gridded brightness temperatures, spatially subsetted to the state of Iowa, USA.
This data set contains hourly surface meteorological and soils data from the United States Department of Agriculture Natural Resources Conservation Service (USDA/NRCS) Soil Climate Analysis Network (SCAN).
Institutions: IE04L, National University of Ireland, Galway, NUIG, School of Physics, University Road, Galway, Ireland, IE04L, National University of Ireland, Galway, NUIG, School of Physics, University Road, Galway, Ireland
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of particle_number_size_distribution at Mace Head (IE0031R) using smps. These measurements are gathered as a part of the following projects CREATE and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: particle_number_size_distribution in aerosol (number_concentration_of_positive_ions_in_dry_aerosol_particles_in_air)
Institutions: CH01L, Swiss Federal Laboratories for Materials Science and Technology, EMPA, Section Air Pollution, Überlandstrasse 133, 8600, Dübendorf, Switzerland, CH01L, Swiss Federal Laboratories for Materials Science and Technology, EMPA, Section Air Pollution, Überlandstrasse 133, 8600, Dübendorf, Switzerland
Last metadata update: 2022-06-10T00:00:00Z
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Abstract:
Ground based in situ observations of ozone at Mt. Kenya (KE0001G) using uv_abs. These measurements are gathered as a part of the following projects GAW-WDCRG, sel_HTAP and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: ozone in air (mass_concentration_of_ozone_in_air), ozone in air (mass_concentration_of_ozone_in_air)
Institutions: CH01L, Swiss Federal Laboratories for Materials Science and Technology, EMPA, Section Air Pollution, Überlandstrasse 133, 8600, Dübendorf, Switzerland, CH01L, Swiss Federal Laboratories for Materials Science and Technology, EMPA, Section Air Pollution, Überlandstrasse 133, 8600, Dübendorf, Switzerland
Last metadata update: 2022-06-10T00:00:00Z
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Abstract:
Ground based in situ observations of carbon_monoxide at Mt. Kenya (KE0001G) using ndir. These measurements are gathered as a part of the following projects Independent, sel_HTAP and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: carbon_monoxide in air (mass_fraction_of_carbon_monoxide_in_air), carbon_monoxide in air (mass_fraction_of_carbon_monoxide_in_air)
Institutions: KE01L, Kenya Meteorological Department, Dagoretti Corner, Nairobi, Kenya, KE01L, Kenya Meteorological Department, Dagoretti Corner, Nairobi, Kenya
Last metadata update: 2022-05-12T00:00:00Z
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Abstract:
Ground based in situ observations of aws at Mt. Kenya (KE0001G). These measurements are gathered as a part of the following projects GAW-WDCRG, sel_HTAP and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: pressure in met (air_pressure), relative_humidity in met (relative_humidity), temperature in met (air_temperature), wind_direction in met (wind_from_direction), wind_speed in met (wind_speed)
This data set consists of browse images acquired by the C-band Active Microwave Instrument (AMI) onboard the European Remote Sensing Satellite 2 (ERS-2) and provides only a general quality assessment of the ERS-2 AMI data.
This data set consists of land use classification data collected for the Iowa Soil Moisture Experiment 2002 (SMEX02) study region. The land use classification image provides information about vegetation present in the study area.
Institutions: GB02L, AEA Technology, National Environmental Techn. Centre, Culham Abington, OXFORDSHIRE OX14 3DB, United Kingdom, GB02L, AEA Technology, National Environmental Techn. Centre, Culham Abington, OXFORDSHIRE OX14 3DB, United Kingdom
Last metadata update: 2023-11-01T00:00:00Z
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Abstract:
Ground based in situ observations of ozone at St. Osyth (GB0050R) using uv_abs. These measurements are gathered as a part of the following projects EMEP and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: ozone in air (mole_fraction_of_ozone_in_air), ozone in air (mass_concentration_of_ozone_in_air)